Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team, you will join other outstanding Revolutionaries in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity:
We are seeking a curious and dedicated Scientist to join the New Discovery & Platform team within Discovery Sciences. The successful candidate will support early-stage discovery efforts aimed at interrogating new targets, deploying current oncology assay technologies, and developing new technology platforms to advance drug discovery.
This primarily lab-focused role will contribute at the bench by developing lysate-based assays, supporting pooled screening, and advancing new assay platforms. In addition to strong experimental skills, we seek a scientist who bridges chemistry and biology, with a track record of creative, innovative assay development to expand our discovery capabilities.
Responsibilities
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Develop and apply methods for screening protein–protein interactions (e.g., MSD, BLI) to assess target engagement in physiologically relevant contexts.
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Apply and expand biochemical and biophysical assay platforms, including TR-FRET, fluorescence polarization (FP), surface plasmon resonance (SPR), biolayer interferometry (BLI), and mass spectrometry.
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Design, develop, and execute pooled screening experiments (e.g., DEL, display technologies such as mRNA or yeast display).
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Perform chemical or protein conjugation/labeling to support assay development, target characterization, and platform innovation.
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Interrogate new therapeutic targets while deploying current oncology assay technologies and contributing to new technology development.
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Optimize, troubleshoot, and analyze assays to support early-stage discovery projects.
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Collaborate closely with internal partners to integrate experimental outcomes into broader discovery strategies.
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Maintain accurate, timely, and detailed documentation of experiments and findings.
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Support automation workflows and contribute to data analysis pipelines for high-throughput studies.
Required Skills, Experience, and Education
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PhD in Chemical Biology, Biochemistry, Biophysics, or related field (0–3 years of relevant industry or postdoctoral experience).
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Evidence of bridging chemistry and biology, with a demonstrated track record of innovative assay development.
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Strong foundation in biochemical and biophysical methods for protein–ligand interactions, protein–protein interactions, and enzymatic activity measurement.
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Hands-on experience with target engagement assays, TR-FRET, FP, SPR, BLI, mass spectrometry, pooled screening approaches (e.g., DEL, mRNA display, yeast display), and/or chemical/protein conjugation or labeling.
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Proficiency in data analysis, statistical interpretation, and experimental design.
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Demonstrated ability to excel in a primarily lab-focused environment with precision and attention to detail.
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Excellent problem-solving skills, adaptability, and a collaborative mindset.
Preferred Skills:
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Familiarity with laboratory automation systems and high-throughput workflows.
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Experience with large dataset handling and visualization tools (e.g., Genedata, Spotfire, KNIME, Vortex).
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Detail-oriented with the ability to manage multiple priorities in a dynamic setting.
This is a contract position that will be employed through a third-party recruiting agency. The agency will provide the pay range, which will be based on several factors, including job-related skills, experience, market conditions, and relevant education or training.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
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